F. Burshteyn

1.5k citations
3 papers · 1.2k · 1 hit paper · h-index 3

Impact in

Papers in

    • Enzyme function and inhibition 1
    • Protein Structure and Dynamics 1
    • Cholinesterase and Neurodegenerative Diseases 1

F. Burshteyn

3 papers receiving 1.2k citations

F. Burshteyn's Hit Papers

Structures of Human Acetylcholinesterase in Complex with Pharmacologically Important Ligands 2012 · 1.1k citations
1.1k0+4+9Years since publication2505007501000

Peers

F. Burshteyn
Comparison fields: 5 of 73
  • Pharmacology 969
  • Computational Theory and Mathematics 682
  • Complementary and alternative medicine 143
  • Organic Chemistry 522
  • Pharmacology 41
Replace M. Cassidy with:
M. Cassidy United States
Donglu Bai China
Daniel C. Vellom United States
Samir Yahiaoui France
Marie-Thérèse Froment France
Elahe Karimpour‐Razkenari Iran
Carmen Lúcia Cardoso Brazil
Francesca Pintus Italy
Jia-Sen Liu China
Pankaj Pandey United States
F. Burshteyn relative to M. Cassidy United States M. Cassidy's profile →
Citations per field
00.5×1.5×
M. Cassidy · 1×
Citations per year

Countries citing papers authored by F. Burshteyn

Since Specialization
Citations

This map shows the geographic impact of F. Burshteyn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by F. Burshteyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Burshteyn more than expected).

Fields of papers citing papers by F. Burshteyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Burshteyn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by F. Burshteyn. The network helps show where F. Burshteyn may publish in the future.

Co-authors

The 16 scholars most cited alongside F. Burshteyn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Burshteyn Line = papers co-authored together F. Burshteyn links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About F. Burshteyn

F. Burshteyn is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Molecular Medicine and Biotechnology, having authored 3 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (1 paper), Enzyme Structure and Function (1 paper), Transgenic Plants and Applications (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Antibiotic Resistance in Bacteria (1 paper), Enzyme function and inhibition (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Pharmacology (969 citations), Computational Theory and Mathematics (682 citations), Complementary and alternative medicine (143 citations), Organic Chemistry (522 citations) and Pharmacology (41 citations). F. Burshteyn has collaborated with scholars based in United States. Frequent co-authors include Matthew C. Franklin, E. Gary, Jonah Cheung, M. Rudolph, M. Cassidy, J.J. Height, J. Love, James D. Love, Zhong‐Ke Yao and Maxim Totrov. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Medicinal Chemistry and Journal of Molecular Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact